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Using open source code libraries for robust design analysis

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Otto, Kevin
dc.contributor.author Wang, Jiahui
dc.contributor.author Uyan, Tekin
dc.date.accessioned 2020-11-30T08:18:55Z
dc.date.available 2020-11-30T08:18:55Z
dc.date.issued 2019
dc.identifier.citation Otto , K , Wang , J & Uyan , T 2019 , ' Using open source code libraries for robust design analysis ' , Proceedings of the Design Society: International Conference on Engineering Design , vol. 2019-July , pp. 1733-1741 . https://doi.org/10.1017/dsi.2019.179 en
dc.identifier.issn 2220-4342
dc.identifier.other PURE UUID: bfcc52ef-636e-4b4d-a271-6bb6f8299ef2
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/bfcc52ef-636e-4b4d-a271-6bb6f8299ef2
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85079808017&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/53172642/using_open_source_code_libraries_for_robust_design_analysis.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/61792
dc.description.abstract The design of systems today often involves computer simulation to assess performance and design margins. Understanding how variability erases design margin is important to assure adequacy of margins, especially in optimization efforts. In this paper, we develop a toolchain using open source code libraries in Python, and encapsulate it in Jupyter notebooks, to provide an open source, interactive uncertainty quantification and sensitivity analysis toolchain. This works generally with simulation tools, where a reference folder is created containing a script that reads an input file of parameter values and runs the simulation. With that easily created, the toolchain executes the necessary uncertainty quantification steps with replicates of that reference folder. This approach fits within a broader workflow outlined that defines the variation modes to study, maps to simulation inputs, and screens the variables for sensitivity before conducting an uncertainty quantification. An example is shown in the simulation analysis of a Stirling engine. en
dc.format.extent 9
dc.format.extent 1733-1741
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Cambridge University Press
dc.relation.ispartofseries Proceedings of the Design Society: International Conference on Engineering Design en
dc.relation.ispartofseries Volume 2019-July en
dc.rights openAccess en
dc.title Using open source code libraries for robust design analysis en
dc.type Conference article fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Mechanical Engineering
dc.contributor.department Aalto University
dc.subject.keyword Open source design
dc.subject.keyword Robust design
dc.subject.keyword Simulation
dc.identifier.urn URN:NBN:fi:aalto-2020113020637
dc.identifier.doi 10.1017/dsi.2019.179
dc.type.version publishedVersion

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